CaltechAUTHORS
  A Caltech Library Service

Olfactory network dynamics and the coding of multidimensional signals

Laurent, Gilles (2002) Olfactory network dynamics and the coding of multidimensional signals. Nature Reviews Neuroscience, 3 (11). pp. 884-895. ISSN 1471-003X. doi:10.1038/nrn964. https://resolver.caltech.edu/CaltechAUTHORS:20150408-140531693

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20150408-140531693

Abstract

The brain faces many complex problems when dealing with odorant signals. Odours are multidimensional objects, which we usually experience as unitary percepts. They are also noisy and variable, but we can classify and identify them well. This means that the olfactory system must solve complicated pattern-learning and pattern-recognition problems. I propose that part of the solution relies on a particular architecture that imposes a dynamic format on odour codes. According to this hypothesis, the olfactory system actively creates a large coding space in which to place odour representations and simultaneously optimizes their distribution within it. This process uses both oscillatory and non-periodic dynamic processes with complementary functions: slow non-periodic processes underlie decorrelation, whereas fast oscillations allow sparsening and feature binding.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1038/nrn964DOIArticle
http://www.nature.com/nrn/journal/v3/n11/full/nrn964.htmlPublisherArticle
http://rdcu.be/cuZmPublisherFree ReadCube access
ORCID:
AuthorORCID
Laurent, Gilles0000-0002-2296-114X
Additional Information:© 2002 Nature Publishing Group. The work from my laboratory reviewed here was funded by the National Science Foundation, the National Institute on Deafness and other Communication Disorders, and the McKnight, Keck, Sloan and Sloan-Swartz Foundations. I thank M. Stopfer, R. Friedrich, K. McLeod, M. Wehr, J. Perez-Orive, O. Mazor, S. Cassenaer, R. Wilson, G. Turner, C. Pouzat, V. Jayaraman, S. Farivar, H. Davidowitz, R. Jortner, A. Holub, M. Rabinovich, H. Abarbanel, R. Huerta, T. Nowotny, V. Zighulin, A. Bäcker, M. Bazhenov, P. Perona and E. Schuman for the privilege of working on these problems with them. I thank P. Cariani for pointing me to Kanerva’s book on sparse distributed memories, K. Heyman for secretarial assistance and S. Farivar for Golgis in figure 4.
Funders:
Funding AgencyGrant Number
NSFUNSPECIFIED
National Institute on Deafness and Other Communication DisordersUNSPECIFIED
McKnight FoundationUNSPECIFIED
Alfred P. Sloan FoundationUNSPECIFIED
Sloan-Swartz FoundationUNSPECIFIED
Issue or Number:11
DOI:10.1038/nrn964
Record Number:CaltechAUTHORS:20150408-140531693
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20150408-140531693
Official Citation:Olfactory network dynamics and the coding of multidimensional signals Gilles Laurent p884 | doi:10.1038/nrn964
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:56493
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:08 Apr 2015 22:25
Last Modified:10 Nov 2021 21:00

Repository Staff Only: item control page